Triple

T15690322
Position Surface form Disambiguated ID Type / Status
Subject Voss Municipality E380310 entity
Predicate hasRiver P165 FINISHED
Object Vosso E739591 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vosso | Statement: [Voss Municipality, hasRiver, Vosso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vosso
Context triple: [Voss Municipality, hasRiver, Vosso]
  • A. Vosso chosen
    Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
  • B. Vos
    Vos is a Dutch surname borne by various notable individuals, including theologian Geerhardus Vos.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Vassa
    Vassa is the traditional Buddhist rainy-season retreat during which monks remain in one place for intensive meditation and study.
  • E. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.